### **Company Overview** Dadosfera is transforming the data landscape with a platform that delivers advanced Data, AI, and Analytics capabilities — previously available only to technology giants such as Meta, Amazon, Alphabet, and Microsoft — directly into the hands of small and medium-sized enterprises. By democratizing access to these technologies, we empower our customers to accelerate business opportunities through AI-powered Data Apps. Our platform significantly reduces time spent on cloud management and simplifies the entire data lifecycle — from collection and exploration to processing and interaction — enabling customers to focus on their business objectives. Built on a high-growth SaaS model, Dadosfera delivers tailored solutions to meet real-world enterprise needs. What sets Dadosfera apart is our innovative focus on speed, scalability, and flexibility — combining big data storage with advanced analytics to drive strategic decision-making. With years of experience implementing data platforms on foreign public clouds, we now deliver an economically viable solution adapted to the local context — designed for both the Brazilian and global markets. By combining deep expertise with regional infrastructure, Dadosfera provides a powerful and efficient tool that optimizes corporate data management and drives data-driven transformation. ### **About the Role** Dadosfera, a leader in Data Platform and AI Solutions, is seeking exceptional talent in Data Engineering. We are looking for someone passionate about data who thrives in an autonomous, high-learning environment and enjoys working with cutting-edge technologies. As a Data Engineer, your mission will be to manage large volumes of data, building solutions and generating insights for our clients. ### **Responsibilities** * Design, develop, and maintain scalable, efficient, and robust data pipelines. * Implement data ingestion, transformation, and quality processes, ensuring reliability and governance in deliverables. * Build and optimize data architectures using cloud services, Kubernetes, and orchestration tools. * Develop and maintain APIs, scripts, and integrations for data ingestion from multiple sources (APIs, files, crawlers, connectors). * Perform web scraping and crawler development, ensuring performance and integrity of collected data. * Collaborate with product, analytics, data science, and engineering teams to enable end-to-end data solutions. * Monitor performance of implemented pipelines and solutions, identifying bottlenecks and proposing continuous improvements. * Support data architecture initiatives, technical standardization, and engineering best practices. * Contribute to the development of data applications (data apps), including prototyping and optimization using Streamlit. * Participate in strategic projects involving automation, integration, and — where applicable — AI-enabled capabilities. ### **Minimum Qualifications** * 3+ years of experience in Data Engineering or related field. * Bachelor’s degree in a STEM field or equivalent experience. * Proficiency in building, maintaining, and optimizing data pipelines. * Experience with SQL and Python development. * Hands-on experience with Linux environments and cloud services. * Familiarity with CDC tools (e.g., Debezium, DMS) and orchestration tools (e.g., Airflow, NiFi). * Practical experience with Kubernetes and Apache Spark. * Ability to build, maintain, and consume APIs, as well as develop scripts and automations for data manipulation and integration from diverse sources (APIs, files, custom connectors). * Experience with web scraping, crawlers, and web data extraction tools (e.g., Scrapy, Beautiful Soup). * Strong organizational and prioritization skills in multi-demand environments. * Experience developing data apps, especially with Streamlit. ### **Preferred Qualifications** * Experience with LLM-based projects, including integrating and consuming AI models in data solutions. * Experience in data platform or data environment migration projects. * Knowledge of MLOps and DataOps practices to support AI-driven applications. * Experience with infrastructure-as-code tools such as Terraform or CloudFormation. * Knowledge of relational and non-relational databases. * Experience in tech startups or with BI tools (Power BI, Tableau, Metabase). * Intermediate or advanced English proficiency. ### **At Dadosfera** We value and celebrate diversity in all its forms and are committed to fostering an inclusive environment every day. We maintain zero tolerance for any form of discrimination. **Do you share these values? Then don’t wait — apply today!**